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dc.contributor.authorTzouvadaki, Ioulia
dc.contributor.authorProdromakis, Themis
dc.date.accessioned2023-08-02T10:26:20Z
dc.date.available2023-06-08T20:31:09Z
dc.date.available2023-08-02T10:26:20Z
dc.date.issued2023
dc.identifier.issn2673-3013
dc.identifier.otherWOS:000992128000001
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/41695.2
dc.sourceWOS
dc.titleLarge-scale nano-biosensing technologies
dc.typeJournal article review
dc.contributor.imecauthorTzouvadaki, Ioulia
dc.contributor.orcidimecTzouvadaki, Ioulia::0000-0002-0925-2517
dc.date.embargo2023-02-15
dc.identifier.doi10.3389/fnano.2023.1127363
dc.source.numberofpages14
dc.source.peerreviewyes
dc.source.beginpageArt. 1127363
dc.source.endpagena
dc.source.journalFRONTIERS IN NANOTECHNOLOGY
dc.source.issue/
dc.source.volume5
imec.availabilityPublished - open access
dc.description.wosFundingTextFunding This work was supported in part by UGent Special Research Fund (BOF) (BOF/STA/202209/021), in part by the Engineering and Physical Sciences Research Council (EPSRC) Programme under Functional Oxide Reconfigurable Technologies (FORTE) Grant EP/R024642/2, in part by a SYnaptically connected brain-silicon Neural Closed-loop Hybrid system (SYNCH) under Grant H2020-FET- PROACT-2018-01, and in part by the RAEng Chair in Emerging Technologies under Grant CiET1819/2/93.


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